Literature DB >> 25247942

Improved accuracy of pulmonary embolism computer-aided detection using iterative reconstruction compared with filtered back projection.

Kian Lahiji1, Seth Kligerman, Jean Jeudy, Charles White.   

Abstract

OBJECTIVE: The purpose of this study was to determine whether use of iterative reconstruction (IR) can improve performance of a pulmonary embolism computer-aided detection (PE CAD) prototype.
MATERIALS AND METHODS: Images were collected from 40 consecutive pulmonary CT angiographic examinations in which PE was found and 26 studies in which it was not found for use as control cases. All images were reconstructed with filtered back projection (FBP) and six levels of a hybrid IR algorithm. The studies were evaluated with a prototype PE CAD system, and its performance was comparatively assessed on the basis of reconstruction type on a per-embolus and a per-study basis.
RESULTS: Use of the hybrid IR algorithm led to a significant and progressive decrease in false-positive marks made by PE CAD compared with those made by radiologists on FBP reconstructions (239 false-positive marks for FBP and 154, 136, 125, 116, 107, and 98 false-positive marks for the six hybrid IR [HIR] levels). Specificity improved with increasing HIR level (45.6% for level 6; 30.3% for FBP). However, compared with FBP, increasing levels of HIR resulted in a progressive decrease in per-embolism sensitivity (70.3% for FBP; 55.4% for HIR level 6) and, with the exception of HIR level 4, a progressive decrease in per-study sensitivity (97.5% for FBP; 85.0% for HIR level 6). Overall accuracy was highest for HIR level 1 (77.3%).
CONCLUSION: The use of IR leads to a significant reduction in false-positive marks by PE CAD at a cost of decreasing sensitivity. Very high levels of IR, which had the lowest sensitivities, should be avoided if being used concomitantly with PE CAD.

Entities:  

Keywords:  CT; computer-aided detection; iterative reconstruction; pulmonary embolism

Mesh:

Year:  2014        PMID: 25247942     DOI: 10.2214/AJR.13.11838

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  6 in total

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Authors:  Long Jiang Zhang; Guang Ming Lu; Felix G Meinel; Andrew D McQuiston; James G Ravenel; U Joseph Schoepf
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2.  Image Quality of 3rd Generation Spiral Cranial Dual-Source CT in Combination with an Advanced Model Iterative Reconstruction Technique: A Prospective Intra-Individual Comparison Study to Standard Sequential Cranial CT Using Identical Radiation Dose.

Authors:  Holger Wenz; Máté E Maros; Mathias Meyer; Alex Förster; Holger Haubenreisser; Stefan Kurth; Stefan O Schoenberg; Thomas Flohr; Christianne Leidecker; Christoph Groden; Johann Scharf; Thomas Henzler
Journal:  PLoS One       Date:  2015-08-19       Impact factor: 3.240

Review 3.  Intra-individual diagnostic image quality and organ-specific-radiation dose comparison between spiral cCT with iterative image reconstruction and z-axis automated tube current modulation and sequential cCT.

Authors:  Holger Wenz; Máté E Maros; Mathias Meyer; Joshua Gawlitza; Alex Förster; Holger Haubenreisser; Stefan Kurth; Stefan O Schoenberg; Christoph Groden; Thomas Henzler
Journal:  Eur J Radiol Open       Date:  2016-07-26

4.  Preliminary detection of lung hypoperfusion in discharged Covid-19 patients during recovery.

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Journal:  Eur J Radiol       Date:  2020-06-09       Impact factor: 3.528

5.  Assessment of Acute Pulmonary Embolism by Computer-Aided Technique: A Reliability Study.

Authors:  Zhen-Ting Sun; Fen-E Hao; You-Min Guo; Ai-Shi Liu; Lei Zhao
Journal:  Med Sci Monit       Date:  2020-02-29

6.  Deep learning for pulmonary embolism detection on computed tomography pulmonary angiogram: a systematic review and meta-analysis.

Authors:  Shelly Soffer; Eyal Klang; Orit Shimon; Yiftach Barash; Noa Cahan; Hayit Greenspana; Eli Konen
Journal:  Sci Rep       Date:  2021-08-04       Impact factor: 4.379

  6 in total

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